Data Scientist VI

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Are you ready to develop data-driven solutions that tackle Spectrum’s business challenges? As a Data Scientist VI, you will utilize your analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets, interpreting the results to drive impactful decisions for the organization, as well as mentoring more junior members of the team. How You’ll Make an Impact Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data  Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources  Collaborate with leadership and other stakeholders on project strategy, direction and changes  Use time and resources effectively, prioritizing work, establishing and meeting timelines without oversight, and delivering multiple tasks at the same time Close technical debts and visualizes technology roadmaps  Provide guidance and support to junior staff during response efforts  Apply appropriate level of data maintenance, data quality control and validation of code, tools, and models  Mentor Data Scientists I-IV Working Conditions Office environment

QUALIFICATIONS:

What You’ll Bring to Spectrum

Required Qualifications Education Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience Experience 4+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer 4+ years of programming experience

Skills Ability to perform involved and independent research and analysis, effectively create and present data insights and recommendations to key stakeholders independently Demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise  Extensive knowledge of core data science and machine learning principles and ability to identify and apply the appropriate techniques with minimal oversight  Proficient in at least one data science toolkit such as Python or R and able to learn additional languages and functionality  Comprehensive level SQL skills  

Experience with large data sets and proficient with big data tools such as Spark and Hive Familiarity with broader cloud-based infrastructure and ability to troubleshoot issues with guidance  In-depth knowledge of advanced mathematical and statistical concepts and the ability to learn and apply new techniques independently  Mastery of development of data tools and models, scripting, analysis and ETL, and ability to synthesize complex code  Basic understanding of data architecture, data warehouse and data marts  Strong command of statistical techniques and machine learning algorithms  

Preferred Qualifications Expert-level experience designing, developing, and maintaining scalable data pipelines and ETL/ELT workflows. Proficient on data orchestration tooling like Airflow or AWS Step Functions.
• Strong programming skills in Python and Scala with experience optimizing complex queries and data transformations for performance and cost efficiency
• Deep understanding of data modeling, distributed systems, and performance optimization for Big Data.
• The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.
• Strong problem solver who ensures systems are…